Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Lonid-C/zhenhai-lexiang-mcp --skill lexiang-setupgit clone --depth 1 https://github.com/Lonid-C/zhenhai-lexiang-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lonid-c/zhenhai-lexiang-mcp/lexiang-setup)<a href="https://agentmods.dev/skills/lonid-c/zhenhai-lexiang-mcp/lexiang-setup"><img src="https://agentmods.dev/badge/skills/lonid-c/zhenhai-lexiang-mcp/lexiang-setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lonid-c/zhenhai-lexiang-mcp/lexiang-setup"><img src="https://agentmods.dev/badge/skills/lonid-c/zhenhai-lexiang-mcp/lexiang-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.00245 |
| Opus 5 | $0.00013 | $0.00122 |
| Sonnet 5 | $0.00005 | $0.00049 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
lexiang-setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
震海乐享知识库配置
当用户要求配置、诊断或使用乐享知识库时，先检查 MCP 工具是否已可用。
若工具返回“配置不完整”或用户尚未配置，请说明需要用户在自己的终端运行：
lexiang-mcp setup
不要要求用户在聊天中粘贴 LEXIANG_APP_SECRET、App Key 或任何其他密钥；不要尝试读取或显示本地 .env。向导会在本机以隐藏输入收集密钥。
工具选择：
- 需要浏览目录时使用
list_kb_tree； - 需要回答知识库问题时优先使用
rag_search； - 已知节点 ID 或需要正文时使用
get_kb_entry。
若 rag_search 提示成员帐号错误，提醒用户运行 lexiang-mcp configure 并确认 LEXIANG_STAFF_ID 是乐享通讯录成员帐号，不是部门 ID。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 25 lines · 25 tokens per session scan A 9728287ab9e6
lexiang-setup is a skill published in the GitHub repository Lonid-C/zhenhai-lexiang-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 245 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.